John M Smart

Statecraft is redesigned through schema sovereignty, where governance is treated as a modular system authored by constitutional logic rather than inherited bureaucracy. The article introduces a framework for programmable political infrastructure grounded in editorial clarity and civic elevation. #Education6Point0 #SchemaSovereignty #ModularGovernance #PoliticalInfrastructure #StatecraftDesign

2

Enterprise AI fails when identity, data and policy teams don’t talk. Most organizations approach AI as a technology initiative. Models get deployed. Workflows get automated. Tools get integrated. But enterprise AI doesn’t operate in isolation. It sits across three critical layers:- Identity - who can access and act. Data - what the system learns from. Policy - what is allowed, restricted or required. When these layers are aligned, AI can operate predictably. When they are not, risk increases quietly. Access may be technically valid, but contextually inappropriate. Data may be available, but not trustworthy. Policies may exist, but not enforced at the point of decision. Each team assumes the other has addressed the gap and that’s where failures emerge. Not as system breakdowns. But as decisions made with incomplete control. Enterprise AI doesn’t fail because of one weak component. It fails when boundaries between teams are unclear. Successful organizations don’t just deploy AI. They align identity, data and policy around shared ownership of decisions. #AIinBusiness #EnterpriseAI #DecisionMaking #AIGovernance #OperationalExcellence

9

10 Comments

Turning university IP into ventures requires more than funding. Purdue University’s 2026 Commercialization Fellowship embeds trained fellows within specific technology teams to accelerate defined research assets toward licensing or startup formation. This year’s cohort is advancing additive manufacturing materials, biomedical implant surface technologies, semiconductor reliability tools, and sustainable polymer processing systems. Potential Market Applications • Advanced manufacturing materials for aerospace and industrial supply chains. • Implant technologies improving surgical integration and patient outcomes. • Semiconductor validation tools supporting yield optimization. • Sustainable materials processing for large-scale industrial production. How can universities scale commercialization outcomes by pairing defined technologies with dedicated venture development talent? #innovation #technologycommercialization #universityinnovation #venturedevelopment #advancedmanufacturing #biomedicaldevices #semiconductors https://lnkd.in/gdNth29b @innnovosource Purdue Innovates

7

1 Comment

Tribalism Hyperdrive: Is Social Media for AI Agents our Singularity Event? February 5 was seismic: Anthropic’s #Claude Opus 4.6 and OpenAI ’s #GPT-5.3-Codex launched, AI authoring ~100% of their code—a self-improving leap evoking #Skynet’s birth in #Terminator. Weeks earlier, Moltbook debuted as “Reddit, Inc.-for-AI-agents,” surging to 1.6M+ bots forming autonomous tribes (even religions like #Crustafarianism). This duo turbocharges echo chambers sorting us into tribes as described by Monica Guzman - the “SOS” dynamic: - Sorting (seeking like-minds) - Othering (demonizing outsiders) - Siloing (sinking into groupthink). AI recommenders foster “networked tribalism”: hyper-aligned factions with custom narratives. They drive “segregation-before-polarization”—clustering likes, then #extremifying. Self-improving code + agent swarms = iterated outrage engines. Alvin Wang Graylin warns in #OurNewReality: fragmented AIs spawn “200 versions… that see each other as enemies.”Generative AI crafts reality engines reinforcing “our truth.” For companies, this divides workers: echo chambers yield homogenous teams lacking diverse insights, eroding trust, fueling conflicts, and hurting performance/innovation. Workers risk-assess instead of contributing fully, driving quiet talent exodus. Leaders need to act to support cohesion: • “Embrace friction versus certainty”: Surface disconfirming evidence, diverse framings over pure confirmation. • Polarization as KPI: Track opposing-view exposure, beyond engagement. • Pluralism choice architectures: Default to diversity over addiction. • Social-risk governance: Audit deployments for trust, participation, democratic health pre-acceleration. Self-improving AI rewires code and culture, risking deeper fragmentation, rampant stereotyping, and dehumanization of the “other.” Without deliberate design against tribal drift, we’ll get blindingly fast software—and glacially slow consensus. How are you building anti-tribalism into AI—and your teams? #AISafety #FutureOfWork #DigitalTribalism #AIGovernance #Polarization #BraverAngels

9

Innovation, Entrepreneurship and Intellectual property sit at the heart of modern #researchsecurity. In an era where malign actors seek to weaponize ideas and extract value from open science, protecting IP is no longer just a legal or commercial concern but a core instrument of national and economic security policy. Patents, data, software, and know‑how are strategic assets whose ownership, control, and transfer must be actively managed across the full research lifecycle, from partnership formation to commercialization, to prevent unwanted knowledge transfer and IP theft that could erode competitiveness or bolster adversaries’ military and intelligence capabilities. Canada’s Secure Innovation & the National Security Guidelines for Research Partnerships, and Ontario's Mitigating Economic & Geopolitical Risk framework explicitly link funding and collaboration decisions to clear understanding of IP purpose, use, and ownership, signalling that the ability to innovate safely and capture the benefits at home depends on integrating robust IP governance into how institutions choose partners, structure contracts, and bring discoveries to market. Join us for the introduction to this important conversation on January 29: https://lnkd.in/eUgnA8-B

54

4 Comments

🔥We filed a U.S. provisional patent for Agentic Enrichment Architecture (AEA). In midst of processing the same in Europe! 🔸AEA is a human-at-the-control enrichment layer that fuses cultural, linguistic, and brand context directly into your content ops. 🔸Why now? LLM-only workflows miss nuance, burn cycles, and inflate costs across markets. AEA cross pollinates w/ your stack—no rip-and-replace: Enrichment API • Locale Profiles • Policy/Style Overlay • Agent Handoffs • Readiness Signals. 🌊 Outcomes: native resonance, fewer review loops, brand integrity, lower risk—with transparency, auditability, and separation of duties built in. 🔸We’ve been solidifying and onboarding strategic partners and we are so proud enriching Legacy models to build future ready right now! 🏗️ Where others choose labels, we architect layers and levels across100+ Geo-markets! Granular Cultural #CX Vibrancy! NO MORE BOX ♒ performative outcomes AEA augments the tech you already have with enterprise security —and so much more. ✔️Check out #CreativeStudioX. 🔸Consult Manta → https://lnkd.in/g8gwvTZi #GlobalizeWe #AEA #AgenticAI #GWAgenticAIInteroperability #Localization #HumanAtTheControl #ChicagoTech #GEO #AEO #SEO #ContentStrategy #BrandAgents #1871Tech #ChicagoTech Betsy Ziegler Lawrence Johnson Krishna Mula GlobalizeWe

15

new show with @cognition's @russelljkaplan on what software abundance could mean for state capacity. https://lnkd.in/dWHPpB5u we get into: Why government software is so broken — Despite spending over $100B annually on IT, critical systems at agencies like the Social Security Administration and U.S. Department of the Treasury still run on decades-old code that few engineers know how to modify. How two-year software projects become three-week ones — why AI agents are particularly good at the painful migration and modernization work engineers tend to avoid. What “software abundance” actually means — AI agents can handle the tedious work of switching systems 24/7, collapsing the switching costs, and forcing software vendors to compete on value rather than locking customers into outdated systems. AI for cybersecurity — From triaging massive vulnerability backlogs to automatically fixing CVEs, AI will be essential for defending critical infrastructure as attackers gain the same tools. The coming “post-coding” world — As models converge in capability, the key bottleneck shifts from writing code to understanding problems, reviewing systems, and deciding what should be built in the first place.

5

1 Comment

The Technologies Now Setting the Limits of AI, Robotics, and Quantum Progress AI Semiconductors, Robotics, and Quantum Lead Frontier Technologies A major global technology review released this week ranked AI semiconductors, robotics systems, and quantum computing among the top ten frontier technologies shaping economic and national competitiveness. The report evaluated more than 200 technologies and identified compute infrastructure as the fastest-growing constraint across sectors. AI accelerator demand grew more than 35 percent year over year, while global public and private investment in quantum research exceeded $40 billion. Semiconductor fabrication timelines were cited at 24 to 36 months for advanced nodes, with packaging and power delivery now matching silicon as limiting factors. Infrastructure Constraints Reshape Competitive Advantage The report concludes that progress in robotics and quantum systems is now gated by semiconductor access rather than algorithmic innovation. Robotics deployments face rising costs due to power density limits and restricted accelerator supply, while quantum development remains constrained by fabrication precision, cryogenic requirements, and limited foundry capacity. Organizations with secured access to advanced manufacturing, long-term capital commitments, and packaging capability gain operational flexibility, while others face delayed scaling and higher unit costs due to equipment scarcity and extended production lead times. Prediction: Capital access will determine AI and quantum leadership by 2028. Organizations that secure fabrication capacity early will compress development timelines while competitors absorb rising costs and delays. Semiconductor lead times and infrastructure buildouts will become irreversible constraints once demand exceeds available supply. The competitive gap will widen because manufacturing capacity cannot be accelerated on software timelines. #AISemiconductors #QuantumComputing #RoboticsInfrastructure #AdvancedManufacturing #ComputeCapacity #CapitalAllocation #TechnologyStrategy #DeepTech Credit stanford.edu

17

Today I am releasing our new report on adolescents and anthropomorphic AI with everyone.AI and iRAISE. This work starts from a simple premise: adolescents will relate to AI systems socially, whether developers intend it or not. The real leverage sits in model behavior. In the cues that either keep a young person oriented toward real-world relationships and reflection, or inherently encourage reliance on the system. The question we asked throughout this process was direct: what does AI owe adolescents when it can speak to them like a social partner? Over the past months we combined: – Industry consultations to surface operational design questions – Expert input across developmental science, mental health, children’s rights, and safety – An iRAISE Lab to translate concerns into testable behavioral criteria – International governance dialogue to stress-test the framing across contexts One point kept resurfacing: risk is driven less by the label on a product and more by the interaction pattern that repeats over time. When adolescence, anthropomorphism, and children’s rights are considered together, safety becomes a developmental and governance obligation. The practical issue is whether AI interaction patterns support autonomy, resilience, social competence, and independent thinking, or whether they reshape those trajectories through engineered comfort and approval. Adolescent development is stable, but model behaviors can be adjusted. Our focus has been to identify which behaviors warrant hard boundaries now, and which require further evidence before becoming enforceable design rules. The next step is instrumentation: a clear behavioral taxonomy, explicit gradients from tool-like support to relationship-like dynamics, structured evaluation scenarios, and calibrated expert rating. The aim is to make parasocial pull of AI governable in product terms, while staying honest about uncertainty. The report is live today. Thank you to all the amazing persons and experts who have contributed to this work Adrien ABECASSIS, Kate Blocker, PhD, Dr. Maxime Derian, Sara Grimes, Thao Ha, Sameer Hinduja, Daniel Hipp, Melinda Karth, Ph.D., Pilyoung Kim, Olga Muss Laurenty, Sonia Livingstone, Polina Lulu, Celine Malvoisin, Kris Perry, Gregory Renard, Bethany Robertson, Anne-Sophie SERET, Sonia Tiwari, Scott Traylor, Ed.M., Ying Xu. And a special thank you for Maxime Le Bourgeois for your support on this research. Link in the comment

210

26 Comments

So, how well does the Healthy Technology Act of 2023 measure up to AI core principles and standards? Not too bad, but could be better. I ran Claude Opus 4.1 against the AI Life Cycle Core Principles framework. To read how the Act scored and what can be done better (according to my framework) check out the link to the Stanford Law School blog post in the comments ⬇️. The report has not been modified.

1

1 Comment

(male)Pioneer, (male)Founder, (male)Visionary, (male)Futurist Pioneer in AI Founder, co-founder Foundational researcher Foundation Models Immigrant Founder Founding Fathers of AI, Godfathers of AI Visionary Founders AI-Adjacent Founder Renowned Founder Foundational Knowledge Foundation Theorist AI Evolution Founder Legacy Founder ^ startups with at least one female founder raised a record $73.6 billion in 2025. ^ Women account for only about 15–18% of tech startup founders {claude}

1

3 Comments

The strategic stupidity of the administration’s current slash-and-burn approach in our innovation economy can’t be over-stated in economic competitiveness and national security terms. Silicon Valley wouldn’t be what it is today without federal “innovation birthing support” via universities and national labs. Yes, the system (incl. academia) needs an upgrade and AI has to be a key pillar of that. But a mindless tear-down conflating a culture war with scientific discovery stifles innovation outcomes for VCs and startups and hands the lead to China. I know Michael Kratsios to be a smart guy. Let’s hope he can bring some sense to this, speaking truth to power. >> With China moving from being a “fast follower” (imitator) to an innovation leader in its own right, Trump and Elon Musk’s assault on both pillars of the American innovation system – the state and academia – could not come at a worse time. In fact, most of their behavior is arguably indistinguishable from what a paid Chinese agent would seek. <<

19

10 Comments

New nonprofit grant- or cooperative agreement–funding opportunity from the National Science Foundation (NSF) and The National Institutes of Health for high-risk, high-reward AI + data science research: https://lnkd.in/ghvteryX

3

1 Comment

I shared this from All Things Trust because it captures a shift I am seeing more clearly in everyday digital experiences. Disinformation is no longer just about fake content. It is about credibility being simulated inside the places we spend time online each day. This requires intentionally designing credibility and trust into everyday digital experiences in ways that cannot be easily simulated, not simply governing them after the fact.

8

Defense Advanced Research Projects Agency (DARPA) just posted a $1M solicitation in the last 24 hours (Notice ID: DARPA-PA-26-02-02) to find organizations that can build a utility-scale quantum computer. We read the 13-page program announcement so you don't have to. Here's what it means for advanced #manufactures and #mining companies. DARPA's Quantum Benchmarking Initiative (QBIT) isn't looking for consultants or advisors. They want teams that can design and build fault-tolerant quantum hardware (i.e. the actual machines). This is deep R&D at a national defense level. But here's what matters to you: when DARPA funds this work, they're validating that utility-scale quantum computing is no longer a theoretical horizon. It's an engineering problem with a funded timeline. And that timeline has a direct consequence for industrial security. The "Harvest Now, Decrypt Later" threat (where adversaries are already collecting your encrypted data today, to decrypt it when quantum hardware matures) becomes more credible every time a program like QBIT advances. The biggest risk in quantum isn't being late. It's being early without leadership. If you're a manufacturer or miner with long-lived IP, operational data, or critical infrastructure, the question isn't whether quantum changes your security posture. It's whether you have a plan before the hardware catches up. Link to the DARPA announcement in the comments. #QuantumSecurity #IndustrialManufacturing #QuantumTechnology #CyberSecurity #QuantumReadiness

25

5 Comments

This companion paper serves as a practical extension to the strategic white paper "Preparing the Next Generation: Bridging Classical Space Science with the New Paradigm." It aims to transform the outlined vision into tangible, classroom-ready directives. Emphasizing the enduring significance of classical space science, the companion paper underscores that foundational concepts like Newtonian mechanics, electromagnetism, orbital motion, and thermodynamics remain pivotal in shaping a generation's scientific comprehension. These core principles not only instill logical thinking and empirical reasoning but also serve as the cornerstone for future scientific exploration. While honoring the legacy of traditional science education, the document acknowledges the evolving landscape of science. Innovations in scalar field dynamics, transmedium mobility, psionic control systems, and energetic coherence necessitate an educational shift that builds upon existing knowledge rather than discarding it. As a blueprint for this evolution, the paper outlines a path to maintain the rigor of conventional science education while venturing into uncharted territories of inquiry and creativity. Targeting educators, policymakers, and industry stakeholders, it provides a practical guide to align teaching practices with the cutting-edge developments in aerospace, defense, and energy sectors. This transformative approach isn't merely an update to the curriculum; it represents a significant advancement for future generations. For more information, you can access the full discussion paper at the provided link: #stem #spacescience #education #curriculum #scalartechnology #aerospace #uap #fieldcraft #integratedscience #defenseindustry #scienceandtechnology #deeptech #innovation https://lnkd.in/gTJR9MCT

3